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Online Education: the Academic Impact and Learning Effects

2018, International Journal of Engineering & Technology

Online education is a new way of learning which simplified many factors that affect student intake in higher institution. It gives opportunity to increase the level of education with or without going to the institution. Even though, there is an abundance of research pertaining to online education but very few of these research studies focus on the academic impact and learning effects of this modality on students. These paper present a review on academic impact and learning effects of online education. Educators and learners are benefited to explore beyond traditional classroom in many ways including development of technologies, social contribution and pedagogical.

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The effects of online education on academic success: A meta-analysis study

• Published: 06 September 2021
• Volume 27 , pages 429–450, ( 2022 )

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• Hakan Ulum   ORCID: orcid.org/0000-0002-1398-6935 1  

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The purpose of this study is to analyze the effect of online education, which has been extensively used on student achievement since the beginning of the pandemic. In line with this purpose, a meta-analysis of the related studies focusing on the effect of online education on students’ academic achievement in several countries between the years 2010 and 2021 was carried out. Furthermore, this study will provide a source to assist future studies with comparing the effect of online education on academic achievement before and after the pandemic. This meta-analysis study consists of 27 studies in total. The meta-analysis involves the studies conducted in the USA, Taiwan, Turkey, China, Philippines, Ireland, and Georgia. The studies included in the meta-analysis are experimental studies, and the total sample size is 1772. In the study, the funnel plot, Duval and Tweedie’s Trip and Fill Analysis, Orwin’s Safe N Analysis, and Egger’s Regression Test were utilized to determine the publication bias, which has been found to be quite low. Besides, Hedge’s g statistic was employed to measure the effect size for the difference between the means performed in accordance with the random effects model. The results of the study show that the effect size of online education on academic achievement is on a medium level. The heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

Avoid common mistakes on your manuscript.

1 Introduction

Information and communication technologies have become a powerful force in transforming the educational settings around the world. The pandemic has been an important factor in transferring traditional physical classrooms settings through adopting information and communication technologies and has also accelerated the transformation. The literature supports that learning environments connected to information and communication technologies highly satisfy students. Therefore, we need to keep interest in technology-based learning environments. Clearly, technology has had a huge impact on young people's online lives. This digital revolution can synergize the educational ambitions and interests of digitally addicted students. In essence, COVID-19 has provided us with an opportunity to embrace online learning as education systems have to keep up with the rapid emergence of new technologies.

Information and communication technologies that have an effect on all spheres of life are also actively included in the education field. With the recent developments, using technology in education has become inevitable due to personal and social reasons (Usta, 2011a ). Online education may be given as an example of using information and communication technologies as a consequence of the technological developments. Also, it is crystal clear that online learning is a popular way of obtaining instruction (Demiralay et al., 2016 ; Pillay et al., 2007 ), which is defined by Horton ( 2000 ) as a way of education that is performed through a web browser or an online application without requiring an extra software or a learning source. Furthermore, online learning is described as a way of utilizing the internet to obtain the related learning sources during the learning process, to interact with the content, the teacher, and other learners, as well as to get support throughout the learning process (Ally, 2004 ). Online learning has such benefits as learning independently at any time and place (Vrasidas & MsIsaac, 2000 ), granting facility (Poole, 2000 ), flexibility (Chizmar & Walbert, 1999 ), self-regulation skills (Usta, 2011b ), learning with collaboration, and opportunity to plan self-learning process.

Even though online education practices have not been comprehensive as it is now, internet and computers have been used in education as alternative learning tools in correlation with the advances in technology. The first distance education attempt in the world was initiated by the ‘Steno Courses’ announcement published in Boston newspaper in 1728. Furthermore, in the nineteenth century, Sweden University started the “Correspondence Composition Courses” for women, and University Correspondence College was afterwards founded for the correspondence courses in 1843 (Arat & Bakan, 2011 ). Recently, distance education has been performed through computers, assisted by the facilities of the internet technologies, and soon, it has evolved into a mobile education practice that is emanating from progress in the speed of internet connection, and the development of mobile devices.

With the emergence of pandemic (Covid-19), face to face education has almost been put to a halt, and online education has gained significant importance. The Microsoft management team declared to have 750 users involved in the online education activities on the 10 th March, just before the pandemic; however, on March 24, they informed that the number of users increased significantly, reaching the number of 138,698 users (OECD, 2020 ). This event supports the view that it is better to commonly use online education rather than using it as a traditional alternative educational tool when students do not have the opportunity to have a face to face education (Geostat, 2019 ). The period of Covid-19 pandemic has emerged as a sudden state of having limited opportunities. Face to face education has stopped in this period for a long time. The global spread of Covid-19 affected more than 850 million students all around the world, and it caused the suspension of face to face education. Different countries have proposed several solutions in order to maintain the education process during the pandemic. Schools have had to change their curriculum, and many countries supported the online education practices soon after the pandemic. In other words, traditional education gave its way to online education practices. At least 96 countries have been motivated to access online libraries, TV broadcasts, instructions, sources, video lectures, and online channels (UNESCO, 2020 ). In such a painful period, educational institutions went through online education practices by the help of huge companies such as Microsoft, Google, Zoom, Skype, FaceTime, and Slack. Thus, online education has been discussed in the education agenda more intensively than ever before.

Although online education approaches were not used as comprehensively as it has been used recently, it was utilized as an alternative learning approach in education for a long time in parallel with the development of technology, internet and computers. The academic achievement of the students is often aimed to be promoted by employing online education approaches. In this regard, academicians in various countries have conducted many studies on the evaluation of online education approaches and published the related results. However, the accumulation of scientific data on online education approaches creates difficulties in keeping, organizing and synthesizing the findings. In this research area, studies are being conducted at an increasing rate making it difficult for scientists to be aware of all the research outside of their ​​expertise. Another problem encountered in the related study area is that online education studies are repetitive. Studies often utilize slightly different methods, measures, and/or examples to avoid duplication. This erroneous approach makes it difficult to distinguish between significant differences in the related results. In other words, if there are significant differences in the results of the studies, it may be difficult to express what variety explains the differences in these results. One obvious solution to these problems is to systematically review the results of various studies and uncover the sources. One method of performing such systematic syntheses is the application of meta-analysis which is a methodological and statistical approach to draw conclusions from the literature. At this point, how effective online education applications are in increasing the academic success is an important detail. Has online education, which is likely to be encountered frequently in the continuing pandemic period, been successful in the last ten years? If successful, how much was the impact? Did different variables have an impact on this effect? Academics across the globe have carried out studies on the evaluation of online education platforms and publishing the related results (Chiao et al., 2018 ). It is quite important to evaluate the results of the studies that have been published up until now, and that will be published in the future. Has the online education been successful? If it has been, how big is the impact? Do the different variables affect this impact? What should we consider in the next coming online education practices? These questions have all motivated us to carry out this study. We have conducted a comprehensive meta-analysis study that tries to provide a discussion platform on how to develop efficient online programs for educators and policy makers by reviewing the related studies on online education, presenting the effect size, and revealing the effect of diverse variables on the general impact.

There have been many critical discussions and comprehensive studies on the differences between online and face to face learning; however, the focus of this paper is different in the sense that it clarifies the magnitude of the effect of online education and teaching process, and it represents what factors should be controlled to help increase the effect size. Indeed, the purpose here is to provide conscious decisions in the implementation of the online education process.

The general impact of online education on the academic achievement will be discovered in the study. Therefore, this will provide an opportunity to get a general overview of the online education which has been practiced and discussed intensively in the pandemic period. Moreover, the general impact of online education on academic achievement will be analyzed, considering different variables. In other words, the current study will allow to totally evaluate the study results from the related literature, and to analyze the results considering several cultures, lectures, and class levels. Considering all the related points, this study seeks to answer the following research questions:

What is the effect size of online education on academic achievement?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the country?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the class level?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the lecture?

How do the effect sizes of online education on academic achievement change according to the moderator variable of the online education approaches?

This study aims at determining the effect size of online education, which has been highly used since the beginning of the pandemic, on students’ academic achievement in different courses by using a meta-analysis method. Meta-analysis is a synthesis method that enables gathering of several study results accurately and efficiently, and getting the total results in the end (Tsagris & Fragkos, 2018 ).

2.1 Selecting and coding the data (studies)

The required literature for the meta-analysis study was reviewed in July, 2020, and the follow-up review was conducted in September, 2020. The purpose of the follow-up review was to include the studies which were published in the conduction period of this study, and which met the related inclusion criteria. However, no study was encountered to be included in the follow-up review.

In order to access the studies in the meta-analysis, the databases of Web of Science, ERIC, and SCOPUS were reviewed by utilizing the keywords ‘online learning and online education’. Not every database has a search engine that grants access to the studies by writing the keywords, and this obstacle was considered to be an important problem to be overcome. Therefore, a platform that has a special design was utilized by the researcher. With this purpose, through the open access system of Cukurova University Library, detailed reviews were practiced using EBSCO Information Services (EBSCO) that allow reviewing the whole collection of research through a sole searching box. Since the fundamental variables of this study are online education and online learning, the literature was systematically reviewed in the related databases (Web of Science, ERIC, and SCOPUS) by referring to the keywords. Within this scope, 225 articles were accessed, and the studies were included in the coding key list formed by the researcher. The name of the researchers, the year, the database (Web of Science, ERIC, and SCOPUS), the sample group and size, the lectures that the academic achievement was tested in, the country that the study was conducted in, and the class levels were all included in this coding key.

The following criteria were identified to include 225 research studies which were coded based on the theoretical basis of the meta-analysis study: (1) The studies should be published in the refereed journals between the years 2020 and 2021, (2) The studies should be experimental studies that try to determine the effect of online education and online learning on academic achievement, (3) The values of the stated variables or the required statistics to calculate these values should be stated in the results of the studies, and (4) The sample group of the study should be at a primary education level. These criteria were also used as the exclusion criteria in the sense that the studies that do not meet the required criteria were not included in the present study.

After the inclusion criteria were determined, a systematic review process was conducted, following the year criterion of the study by means of EBSCO. Within this scope, 290,365 studies that analyze the effect of online education and online learning on academic achievement were accordingly accessed. The database (Web of Science, ERIC, and SCOPUS) was also used as a filter by analyzing the inclusion criteria. Hence, the number of the studies that were analyzed was 58,616. Afterwards, the keyword ‘primary education’ was used as the filter and the number of studies included in the study decreased to 3152. Lastly, the literature was reviewed by using the keyword ‘academic achievement’ and 225 studies were accessed. All the information of 225 articles was included in the coding key.

It is necessary for the coders to review the related studies accurately and control the validity, safety, and accuracy of the studies (Stewart & Kamins, 2001 ). Within this scope, the studies that were determined based on the variables used in this study were first reviewed by three researchers from primary education field, then the accessed studies were combined and processed in the coding key by the researcher. All these studies that were processed in the coding key were analyzed in accordance with the inclusion criteria by all the researchers in the meetings, and it was decided that 27 studies met the inclusion criteria (Atici & Polat, 2010 ; Carreon, 2018 ; Ceylan & Elitok Kesici, 2017 ; Chae & Shin, 2016 ; Chiang et al. 2014 ; Ercan, 2014 ; Ercan et al., 2016 ; Gwo-Jen et al., 2018 ; Hayes & Stewart, 2016 ; Hwang et al., 2012 ; Kert et al., 2017 ; Lai & Chen, 2010 ; Lai et al., 2015 ; Meyers et al., 2015 ; Ravenel et al., 2014 ; Sung et al., 2016 ; Wang & Chen, 2013 ; Yu, 2019 ; Yu & Chen, 2014 ; Yu & Pan, 2014 ; Yu et al., 2010 ; Zhong et al., 2017 ). The data from the studies meeting the inclusion criteria were independently processed in the second coding key by three researchers, and consensus meetings were arranged for further discussion. After the meetings, researchers came to an agreement that the data were coded accurately and precisely. Having identified the effect sizes and heterogeneity of the study, moderator variables that will show the differences between the effect sizes were determined. The data related to the determined moderator variables were added to the coding key by three researchers, and a new consensus meeting was arranged. After the meeting, researchers came to an agreement that moderator variables were coded accurately and precisely.

2.2 Study group

27 studies are included in the meta-analysis. The total sample size of the studies that are included in the analysis is 1772. The characteristics of the studies included are given in Table 1 .

2.3 Publication bias

Publication bias is the low capability of published studies on a research subject to represent all completed studies on the same subject (Card, 2011 ; Littell et al., 2008 ). Similarly, publication bias is the state of having a relationship between the probability of the publication of a study on a subject, and the effect size and significance that it produces. Within this scope, publication bias may occur when the researchers do not want to publish the study as a result of failing to obtain the expected results, or not being approved by the scientific journals, and consequently not being included in the study synthesis (Makowski et al., 2019 ). The high possibility of publication bias in a meta-analysis study negatively affects (Pecoraro, 2018 ) the accuracy of the combined effect size, causing the average effect size to be reported differently than it should be (Borenstein et al., 2009 ). For this reason, the possibility of publication bias in the included studies was tested before determining the effect sizes of the relationships between the stated variables. The possibility of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

2.4 Selecting the model

After determining the probability of publication bias of this meta-analysis study, the statistical model used to calculate the effect sizes was selected. The main approaches used in the effect size calculations according to the differentiation level of inter-study variance are fixed and random effects models (Pigott, 2012 ). Fixed effects model refers to the homogeneity of the characteristics of combined studies apart from the sample sizes, while random effects model refers to the parameter diversity between the studies (Cumming, 2012 ). While calculating the average effect size in the random effects model (Deeks et al., 2008 ) that is based on the assumption that effect predictions of different studies are only the result of a similar distribution, it is necessary to consider several situations such as the effect size apart from the sample error of combined studies, characteristics of the participants, duration, scope, and pattern of the study (Littell et al., 2008 ). While deciding the model in the meta-analysis study, the assumptions on the sample characteristics of the studies included in the analysis and the inferences that the researcher aims to make should be taken into consideration. The fact that the sample characteristics of the studies conducted in the field of social sciences are affected by various parameters shows that using random effects model is more appropriate in this sense. Besides, it is stated that the inferences made with the random effects model are beyond the studies included in the meta-analysis (Field, 2003 ; Field & Gillett, 2010 ). Therefore, using random effects model also contributes to the generalization of research data. The specified criteria for the statistical model selection show that according to the nature of the meta-analysis study, the model should be selected just before the analysis (Borenstein et al., 2007 ; Littell et al., 2008 ). Within this framework, it was decided to make use of the random effects model, considering that the students who are the samples of the studies included in the meta-analysis are from different countries and cultures, the sample characteristics of the studies differ, and the patterns and scopes of the studies vary as well.

2.5 Heterogeneity

Meta-analysis facilitates analyzing the research subject with different parameters by showing the level of diversity between the included studies. Within this frame, whether there is a heterogeneous distribution between the studies included in the study or not has been evaluated in the present study. The heterogeneity of the studies combined in this meta-analysis study has been determined through Q and I 2 tests. Q test evaluates the random distribution probability of the differences between the observed results (Deeks et al., 2008 ). Q value exceeding 2 value calculated according to the degree of freedom and significance, indicates the heterogeneity of the combined effect sizes (Card, 2011 ). I 2 test, which is the complementary of the Q test, shows the heterogeneity amount of the effect sizes (Cleophas & Zwinderman, 2017 ). I 2 value being higher than 75% is explained as high level of heterogeneity.

In case of encountering heterogeneity in the studies included in the meta-analysis, the reasons of heterogeneity can be analyzed by referring to the study characteristics. The study characteristics which may be related to the heterogeneity between the included studies can be interpreted through subgroup analysis or meta-regression analysis (Deeks et al., 2008 ). While determining the moderator variables, the sufficiency of the number of variables, the relationship between the moderators, and the condition to explain the differences between the results of the studies have all been considered in the present study. Within this scope, it was predicted in this meta-analysis study that the heterogeneity can be explained with the country, class level, and lecture moderator variables of the study in terms of the effect of online education, which has been highly used since the beginning of the pandemic, and it has an impact on the students’ academic achievement in different lectures. Some subgroups were evaluated and categorized together, considering that the number of effect sizes of the sub-dimensions of the specified variables is not sufficient to perform moderator analysis (e.g. the countries where the studies were conducted).

2.6 Interpreting the effect sizes

Effect size is a factor that shows how much the independent variable affects the dependent variable positively or negatively in each included study in the meta-analysis (Dinçer, 2014 ). While interpreting the effect sizes obtained from the meta-analysis, the classifications of Cohen et al. ( 2007 ) have been utilized. The case of differentiating the specified relationships of the situation of the country, class level, and school subject variables of the study has been identified through the Q test, degree of freedom, and p significance value Fig.  1 and 2 .

3 Findings and results

The purpose of this study is to determine the effect size of online education on academic achievement. Before determining the effect sizes in the study, the probability of publication bias of this meta-analysis study was analyzed by using the funnel plot, Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test.

When the funnel plots are examined, it is seen that the studies included in the analysis are distributed symmetrically on both sides of the combined effect size axis, and they are generally collected in the middle and lower sections. The probability of publication bias is low according to the plots. However, since the results of the funnel scatter plots may cause subjective interpretations, they have been supported by additional analyses (Littell et al., 2008 ). Therefore, in order to provide an extra proof for the probability of publication bias, it has been analyzed through Orwin’s Safe N Analysis, Duval and Tweedie’s Trip and Fill Analysis, and Egger’s Regression Test (Table 2 ).

Table 2 consists of the results of the rates of publication bias probability before counting the effect size of online education on academic achievement. According to the table, Orwin Safe N analysis results show that it is not necessary to add new studies to the meta-analysis in order for Hedges g to reach a value outside the range of ± 0.01. The Duval and Tweedie test shows that excluding the studies that negatively affect the symmetry of the funnel scatter plots for each meta-analysis or adding their exact symmetrical equivalents does not significantly differentiate the calculated effect size. The insignificance of the Egger tests results reveals that there is no publication bias in the meta-analysis study. The results of the analysis indicate the high internal validity of the effect sizes and the adequacy of representing the studies conducted on the relevant subject.

In this study, it was aimed to determine the effect size of online education on academic achievement after testing the publication bias. In line with the first purpose of the study, the forest graph regarding the effect size of online education on academic achievement is shown in Fig.  3 , and the statistics regarding the effect size are given in Table 3 .

The flow chart of the scanning and selection process of the studies

Funnel plot graphics representing the effect size of the effects of online education on academic success

Forest graph related to the effect size of online education on academic success

The square symbols in the forest graph in Fig.  3 represent the effect sizes, while the horizontal lines show the intervals in 95% confidence of the effect sizes, and the diamond symbol shows the overall effect size. When the forest graph is analyzed, it is seen that the lower and upper limits of the combined effect sizes are generally close to each other, and the study loads are similar. This similarity in terms of study loads indicates the similarity of the contribution of the combined studies to the overall effect size.

Figure  3 clearly represents that the study of Liu and others (Liu et al., 2018 ) has the lowest, and the study of Ercan and Bilen ( 2014 ) has the highest effect sizes. The forest graph shows that all the combined studies and the overall effect are positive. Furthermore, it is simply understood from the forest graph in Fig.  3 and the effect size statistics in Table 3 that the results of the meta-analysis study conducted with 27 studies and analyzing the effect of online education on academic achievement illustrate that this relationship is on average level (= 0.409).

After the analysis of the effect size in the study, whether the studies included in the analysis are distributed heterogeneously or not has also been analyzed. The heterogeneity of the combined studies was determined through the Q and I 2 tests. As a result of the heterogeneity test, Q statistical value was calculated as 29.576. With 26 degrees of freedom at 95% significance level in the chi-square table, the critical value is accepted as 38.885. The Q statistical value (29.576) counted in this study is lower than the critical value of 38.885. The I 2 value, which is the complementary of the Q statistics, is 12.100%. This value indicates that the accurate heterogeneity or the total variability that can be attributed to variability between the studies is 12%. Besides, p value is higher than (0.285) p = 0.05. All these values [Q (26) = 29.579, p = 0.285; I2 = 12.100] indicate that there is a homogeneous distribution between the effect sizes, and fixed effects model should be used to interpret these effect sizes. However, some researchers argue that even if the heterogeneity is low, it should be evaluated based on the random effects model (Borenstein et al., 2007 ). Therefore, this study gives information about both models. The heterogeneity of the combined studies has been attempted to be explained with the characteristics of the studies included in the analysis. In this context, the final purpose of the study is to determine the effect of the country, academic level, and year variables on the findings. Accordingly, the statistics regarding the comparison of the stated relations according to the countries where the studies were conducted are given in Table 4 .

As seen in Table 4 , the effect of online education on academic achievement does not differ significantly according to the countries where the studies were conducted in. Q test results indicate the heterogeneity of the relationships between the variables in terms of countries where the studies were conducted in. According to the table, the effect of online education on academic achievement was reported as the highest in other countries, and the lowest in the US. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 5 .

As seen in Table 5 , the effect of online education on academic achievement does not differ according to the class level. However, the effect of online education on academic achievement is the highest in the 4 th class. The statistics regarding the comparison of the stated relations according to the class levels are given in Table 6 .

As seen in Table 6 , the effect of online education on academic achievement does not differ according to the school subjects included in the studies. However, the effect of online education on academic achievement is the highest in ICT subject.

The obtained effect size in the study was formed as a result of the findings attained from primary studies conducted in 7 different countries. In addition, these studies are the ones on different approaches to online education (online learning environments, social networks, blended learning, etc.). In this respect, the results may raise some questions about the validity and generalizability of the results of the study. However, the moderator analyzes, whether for the country variable or for the approaches covered by online education, did not create significant differences in terms of the effect sizes. If significant differences were to occur in terms of effect sizes, we could say that the comparisons we will make by comparing countries under the umbrella of online education would raise doubts in terms of generalizability. Moreover, no study has been found in the literature that is not based on a special approach or does not contain a specific technique conducted under the name of online education alone. For instance, one of the commonly used definitions is blended education which is defined as an educational model in which online education is combined with traditional education method (Colis & Moonen, 2001 ). Similarly, Rasmussen ( 2003 ) defines blended learning as “a distance education method that combines technology (high technology such as television, internet, or low technology such as voice e-mail, conferences) with traditional education and training.” Further, Kerres and Witt (2003) define blended learning as “combining face-to-face learning with technology-assisted learning.” As it is clearly observed, online education, which has a wider scope, includes many approaches.

As seen in Table 7 , the effect of online education on academic achievement does not differ according to online education approaches included in the studies. However, the effect of online education on academic achievement is the highest in Web Based Problem Solving Approach.

4 Conclusions and discussion

Considering the developments during the pandemics, it is thought that the diversity in online education applications as an interdisciplinary pragmatist field will increase, and the learning content and processes will be enriched with the integration of new technologies into online education processes. Another prediction is that more flexible and accessible learning opportunities will be created in online education processes, and in this way, lifelong learning processes will be strengthened. As a result, it is predicted that in the near future, online education and even digital learning with a newer name will turn into the main ground of education instead of being an alternative or having a support function in face-to-face learning. The lessons learned from the early period online learning experience, which was passed with rapid adaptation due to the Covid19 epidemic, will serve to develop this method all over the world, and in the near future, online learning will become the main learning structure through increasing its functionality with the contribution of new technologies and systems. If we look at it from this point of view, there is a necessity to strengthen online education.

In this study, the effect of online learning on academic achievement is at a moderate level. To increase this effect, the implementation of online learning requires support from teachers to prepare learning materials, to design learning appropriately, and to utilize various digital-based media such as websites, software technology and various other tools to support the effectiveness of online learning (Rolisca & Achadiyah, 2014 ). According to research conducted by Rahayu et al. ( 2017 ), it has been proven that the use of various types of software increases the effectiveness and quality of online learning. Implementation of online learning can affect students' ability to adapt to technological developments in that it makes students use various learning resources on the internet to access various types of information, and enables them to get used to performing inquiry learning and active learning (Hart et al., 2019 ; Prestiadi et al., 2019 ). In addition, there may be many reasons for the low level of effect in this study. The moderator variables examined in this study could be a guide in increasing the level of practical effect. However, the effect size did not differ significantly for all moderator variables. Different moderator analyzes can be evaluated in order to increase the level of impact of online education on academic success. If confounding variables that significantly change the effect level are detected, it can be spoken more precisely in order to increase this level. In addition to the technical and financial problems, the level of impact will increase if a few other difficulties are eliminated such as students, lack of interaction with the instructor, response time, and lack of traditional classroom socialization.

In addition, COVID-19 pandemic related social distancing has posed extreme difficulties for all stakeholders to get online as they have to work in time constraints and resource constraints. Adopting the online learning environment is not just a technical issue, it is a pedagogical and instructive challenge as well. Therefore, extensive preparation of teaching materials, curriculum, and assessment is vital in online education. Technology is the delivery tool and requires close cross-collaboration between teaching, content and technology teams (CoSN, 2020 ).

Online education applications have been used for many years. However, it has come to the fore more during the pandemic process. This result of necessity has brought with it the discussion of using online education instead of traditional education methods in the future. However, with this research, it has been revealed that online education applications are moderately effective. The use of online education instead of face-to-face education applications can only be possible with an increase in the level of success. This may have been possible with the experience and knowledge gained during the pandemic process. Therefore, the meta-analysis of experimental studies conducted in the coming years will guide us. In this context, experimental studies using online education applications should be analyzed well. It would be useful to identify variables that can change the level of impacts with different moderators. Moderator analyzes are valuable in meta-analysis studies (for example, the role of moderators in Karl Pearson's typhoid vaccine studies). In this context, each analysis study sheds light on future studies. In meta-analyses to be made about online education, it would be beneficial to go beyond the moderators determined in this study. Thus, the contribution of similar studies to the field will increase more.

The purpose of this study is to determine the effect of online education on academic achievement. In line with this purpose, the studies that analyze the effect of online education approaches on academic achievement have been included in the meta-analysis. The total sample size of the studies included in the meta-analysis is 1772. While the studies included in the meta-analysis were conducted in the US, Taiwan, Turkey, China, Philippines, Ireland, and Georgia, the studies carried out in Europe could not be reached. The reason may be attributed to that there may be more use of quantitative research methods from a positivist perspective in the countries with an American academic tradition. As a result of the study, it was found out that the effect size of online education on academic achievement (g = 0.409) was moderate. In the studies included in the present research, we found that online education approaches were more effective than traditional ones. However, contrary to the present study, the analysis of comparisons between online and traditional education in some studies shows that face-to-face traditional learning is still considered effective compared to online learning (Ahmad et al., 2016 ; Hamdani & Priatna, 2020 ; Wei & Chou, 2020 ). Online education has advantages and disadvantages. The advantages of online learning compared to face-to-face learning in the classroom is the flexibility of learning time in online learning, the learning time does not include a single program, and it can be shaped according to circumstances (Lai et al., 2019 ). The next advantage is the ease of collecting assignments for students, as these can be done without having to talk to the teacher. Despite this, online education has several weaknesses, such as students having difficulty in understanding the material, teachers' inability to control students, and students’ still having difficulty interacting with teachers in case of internet network cuts (Swan, 2007 ). According to Astuti et al ( 2019 ), face-to-face education method is still considered better by students than e-learning because it is easier to understand the material and easier to interact with teachers. The results of the study illustrated that the effect size (g = 0.409) of online education on academic achievement is of medium level. Therefore, the results of the moderator analysis showed that the effect of online education on academic achievement does not differ in terms of country, lecture, class level, and online education approaches variables. After analyzing the literature, several meta-analyses on online education were published (Bernard et al., 2004 ; Machtmes & Asher, 2000 ; Zhao et al., 2005 ). Typically, these meta-analyzes also include the studies of older generation technologies such as audio, video, or satellite transmission. One of the most comprehensive studies on online education was conducted by Bernard et al. ( 2004 ). In this study, 699 independent effect sizes of 232 studies published from 1985 to 2001 were analyzed, and face-to-face education was compared to online education, with respect to success criteria and attitudes of various learners from young children to adults. In this meta-analysis, an overall effect size close to zero was found for the students' achievement (g +  = 0.01).

In another meta-analysis study carried out by Zhao et al. ( 2005 ), 98 effect sizes were examined, including 51 studies on online education conducted between 1996 and 2002. According to the study of Bernard et al. ( 2004 ), this meta-analysis focuses on the activities done in online education lectures. As a result of the research, an overall effect size close to zero was found for online education utilizing more than one generation technology for students at different levels. However, the salient point of the meta-analysis study of Zhao et al. is that it takes the average of different types of results used in a study to calculate an overall effect size. This practice is problematic because the factors that develop one type of learner outcome (e.g. learner rehabilitation), particularly course characteristics and practices, may be quite different from those that develop another type of outcome (e.g. learner's achievement), and it may even cause damage to the latter outcome. While mixing the studies with different types of results, this implementation may obscure the relationship between practices and learning.

Some meta-analytical studies have focused on the effectiveness of the new generation distance learning courses accessed through the internet for specific student populations. For instance, Sitzmann and others (Sitzmann et al., 2006 ) reviewed 96 studies published from 1996 to 2005, comparing web-based education of job-related knowledge or skills with face-to-face one. The researchers found that web-based education in general was slightly more effective than face-to-face education, but it is insufficient in terms of applicability ("knowing how to apply"). In addition, Sitzmann et al. ( 2006 ) revealed that Internet-based education has a positive effect on theoretical knowledge in quasi-experimental studies; however, it positively affects face-to-face education in experimental studies performed by random assignment. This moderator analysis emphasizes the need to pay attention to the factors of designs of the studies included in the meta-analysis. The designs of the studies included in this meta-analysis study were ignored. This can be presented as a suggestion to the new studies that will be conducted.

Another meta-analysis study was conducted by Cavanaugh et al. ( 2004 ), in which they focused on online education. In this study on internet-based distance education programs for students under 12 years of age, the researchers combined 116 results from 14 studies published between 1999 and 2004 to calculate an overall effect that was not statistically different from zero. The moderator analysis carried out in this study showed that there was no significant factor affecting the students' success. This meta-analysis used multiple results of the same study, ignoring the fact that different results of the same student would not be independent from each other.

In conclusion, some meta-analytical studies analyzed the consequences of online education for a wide range of students (Bernard et al., 2004 ; Zhao et al., 2005 ), and the effect sizes were generally low in these studies. Furthermore, none of the large-scale meta-analyzes considered the moderators, database quality standards or class levels in the selection of the studies, while some of them just referred to the country and lecture moderators. Advances in internet-based learning tools, the pandemic process, and increasing popularity in different learning contexts have required a precise meta-analysis of students' learning outcomes through online learning. Previous meta-analysis studies were typically based on the studies, involving narrow range of confounding variables. In the present study, common but significant moderators such as class level and lectures during the pandemic process were discussed. For instance, the problems have been experienced especially in terms of eligibility of class levels in online education platforms during the pandemic process. It was found that there is a need to study and make suggestions on whether online education can meet the needs of teachers and students.

Besides, the main forms of online education in the past were to watch the open lectures of famous universities and educational videos of institutions. In addition, online education is mainly a classroom-based teaching implemented by teachers in their own schools during the pandemic period, which is an extension of the original school education. This meta-analysis study will stand as a source to compare the effect size of the online education forms of the past decade with what is done today, and what will be done in the future.

Lastly, the heterogeneity test results of the meta-analysis study display that the effect size does not differ in terms of class level, country, online education approaches, and lecture moderators.

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• Published: 25 January 2021

Online education in the post-COVID era

• Barbara B. Lockee 1  

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The coronavirus pandemic has forced students and educators across all levels of education to rapidly adapt to online learning. The impact of this — and the developments required to make it work — could permanently change how education is delivered.

The COVID-19 pandemic has forced the world to engage in the ubiquitous use of virtual learning. And while online and distance learning has been used before to maintain continuity in education, such as in the aftermath of earthquakes 1 , the scale of the current crisis is unprecedented. Speculation has now also begun about what the lasting effects of this will be and what education may look like in the post-COVID era. For some, an immediate retreat to the traditions of the physical classroom is required. But for others, the forced shift to online education is a moment of change and a time to reimagine how education could be delivered 2 .

Looking back

Online education has traditionally been viewed as an alternative pathway, one that is particularly well suited to adult learners seeking higher education opportunities. However, the emergence of the COVID-19 pandemic has required educators and students across all levels of education to adapt quickly to virtual courses. (The term ‘emergency remote teaching’ was coined in the early stages of the pandemic to describe the temporary nature of this transition 3 .) In some cases, instruction shifted online, then returned to the physical classroom, and then shifted back online due to further surges in the rate of infection. In other cases, instruction was offered using a combination of remote delivery and face-to-face: that is, students can attend online or in person (referred to as the HyFlex model 4 ). In either case, instructors just had to figure out how to make it work, considering the affordances and constraints of the specific learning environment to create learning experiences that were feasible and effective.

The use of varied delivery modes does, in fact, have a long history in education. Mechanical (and then later electronic) teaching machines have provided individualized learning programmes since the 1950s and the work of B. F. Skinner 5 , who proposed using technology to walk individual learners through carefully designed sequences of instruction with immediate feedback indicating the accuracy of their response. Skinner’s notions formed the first formalized representations of programmed learning, or ‘designed’ learning experiences. Then, in the 1960s, Fred Keller developed a personalized system of instruction 6 , in which students first read assigned course materials on their own, followed by one-on-one assessment sessions with a tutor, gaining permission to move ahead only after demonstrating mastery of the instructional material. Occasional class meetings were held to discuss concepts, answer questions and provide opportunities for social interaction. A personalized system of instruction was designed on the premise that initial engagement with content could be done independently, then discussed and applied in the social context of a classroom.

These predecessors to contemporary online education leveraged key principles of instructional design — the systematic process of applying psychological principles of human learning to the creation of effective instructional solutions — to consider which methods (and their corresponding learning environments) would effectively engage students to attain the targeted learning outcomes. In other words, they considered what choices about the planning and implementation of the learning experience can lead to student success. Such early educational innovations laid the groundwork for contemporary virtual learning, which itself incorporates a variety of instructional approaches and combinations of delivery modes.

Online learning and the pandemic

Fast forward to 2020, and various further educational innovations have occurred to make the universal adoption of remote learning a possibility. One key challenge is access. Here, extensive problems remain, including the lack of Internet connectivity in some locations, especially rural ones, and the competing needs among family members for the use of home technology. However, creative solutions have emerged to provide students and families with the facilities and resources needed to engage in and successfully complete coursework 7 . For example, school buses have been used to provide mobile hotspots, and class packets have been sent by mail and instructional presentations aired on local public broadcasting stations. The year 2020 has also seen increased availability and adoption of electronic resources and activities that can now be integrated into online learning experiences. Synchronous online conferencing systems, such as Zoom and Google Meet, have allowed experts from anywhere in the world to join online classrooms 8 and have allowed presentations to be recorded for individual learners to watch at a time most convenient for them. Furthermore, the importance of hands-on, experiential learning has led to innovations such as virtual field trips and virtual labs 9 . A capacity to serve learners of all ages has thus now been effectively established, and the next generation of online education can move from an enterprise that largely serves adult learners and higher education to one that increasingly serves younger learners, in primary and secondary education and from ages 5 to 18.

The COVID-19 pandemic is also likely to have a lasting effect on lesson design. The constraints of the pandemic provided an opportunity for educators to consider new strategies to teach targeted concepts. Though rethinking of instructional approaches was forced and hurried, the experience has served as a rare chance to reconsider strategies that best facilitate learning within the affordances and constraints of the online context. In particular, greater variance in teaching and learning activities will continue to question the importance of ‘seat time’ as the standard on which educational credits are based 10 — lengthy Zoom sessions are seldom instructionally necessary and are not aligned with the psychological principles of how humans learn. Interaction is important for learning but forced interactions among students for the sake of interaction is neither motivating nor beneficial.

While the blurring of the lines between traditional and distance education has been noted for several decades 11 , the pandemic has quickly advanced the erasure of these boundaries. Less single mode, more multi-mode (and thus more educator choices) is becoming the norm due to enhanced infrastructure and developed skill sets that allow people to move across different delivery systems 12 . The well-established best practices of hybrid or blended teaching and learning 13 have served as a guide for new combinations of instructional delivery that have developed in response to the shift to virtual learning. The use of multiple delivery modes is likely to remain, and will be a feature employed with learners of all ages 14 , 15 . Future iterations of online education will no longer be bound to the traditions of single teaching modes, as educators can support pedagogical approaches from a menu of instructional delivery options, a mix that has been supported by previous generations of online educators 16 .

Also significant are the changes to how learning outcomes are determined in online settings. Many educators have altered the ways in which student achievement is measured, eliminating assignments and changing assessment strategies altogether 17 . Such alterations include determining learning through strategies that leverage the online delivery mode, such as interactive discussions, student-led teaching and the use of games to increase motivation and attention. Specific changes that are likely to continue include flexible or extended deadlines for assignment completion 18 , more student choice regarding measures of learning, and more authentic experiences that involve the meaningful application of newly learned skills and knowledge 19 , for example, team-based projects that involve multiple creative and social media tools in support of collaborative problem solving.

In response to the COVID-19 pandemic, technological and administrative systems for implementing online learning, and the infrastructure that supports its access and delivery, had to adapt quickly. While access remains a significant issue for many, extensive resources have been allocated and processes developed to connect learners with course activities and materials, to facilitate communication between instructors and students, and to manage the administration of online learning. Paths for greater access and opportunities to online education have now been forged, and there is a clear route for the next generation of adopters of online education.

Before the pandemic, the primary purpose of distance and online education was providing access to instruction for those otherwise unable to participate in a traditional, place-based academic programme. As its purpose has shifted to supporting continuity of instruction, its audience, as well as the wider learning ecosystem, has changed. It will be interesting to see which aspects of emergency remote teaching remain in the next generation of education, when the threat of COVID-19 is no longer a factor. But online education will undoubtedly find new audiences. And the flexibility and learning possibilities that have emerged from necessity are likely to shift the expectations of students and educators, diminishing further the line between classroom-based instruction and virtual learning.

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Lockee, B.B. Online education in the post-COVID era. Nat Electron 4 , 5–6 (2021). https://doi.org/10.1038/s41928-020-00534-0

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Essay on Online Education

Essay generator.

In the realm of education, the advent of online learning has been nothing short of a revolution. Transforming traditional pedagogical approaches and democratizing access to knowledge, online education has reshaped the landscape of learning in the 21st century. This essay delves into the multifaceted dimensions of online education, exploring its benefits, challenges, and its profound impact on students, educators, and society at large.

Introduction to Online Education

Online education, or e-learning, refers to the delivery of educational content via digital platforms and the internet. It encompasses a wide range of learning experiences, from fully online courses and degree programs to blended formats that combine online and face-to-face interactions. This mode of education leverages technology to transcend geographical boundaries, offering flexible, accessible, and personalized learning opportunities.

Benefits of Online Education

Accessibility and flexibility.

One of the most significant advantages of online education is its unparalleled accessibility. Students from remote or underserved regions can access quality education that was previously beyond reach. Moreover, online learning offers flexibility in terms of time and pace, accommodating students’ diverse schedules and learning speeds. This flexibility is particularly beneficial for those balancing education with work or family responsibilities.

Cost-Effectiveness

Online education often presents a cost-effective alternative to traditional education. It eliminates the need for physical infrastructure, reduces travel and accommodation expenses, and often offers course materials online at no extra cost. These factors make higher education more affordable and accessible to a broader audience.

Wide Range of Courses and Programs

The digital nature of online education allows institutions to offer an extensive array of courses and programs. This diversity caters to a wide spectrum of interests and career paths, enabling students to pursue specialized fields of study that might not be available locally.

Personalized Learning Experience

Technology-enabled learning offers personalized education tailored to individual learning styles and speeds. Adaptive learning technologies, interactive content, and data analytics enable educators to customize the learning experience, enhancing student engagement and outcomes.

Challenges of Online Education

Digital divide.

Despite its accessibility, online education can exacerbate the digital divide. Students without reliable internet access or adequate digital devices are at a disadvantage, highlighting the need for infrastructure improvements and equitable access to technology.

Student Engagement and Motivation

Online learning environments can sometimes impede student engagement and motivation. The lack of physical presence and direct interaction with peers and instructors may lead to feelings of isolation and disconnection, affecting students’ learning experience and outcomes.

Quality and Accreditation Concerns

The rapid expansion of online education raises questions about quality assurance and accreditation. Ensuring the credibility of online courses and degrees is crucial for student trust and employability. Rigorous standards and accreditation processes are necessary to maintain educational quality.

Adapting Teaching Strategies

Transitioning from traditional to online education requires significant adjustments in teaching strategies. Instructors must be adept at using digital tools and creating engaging, interactive online content. Professional development and support for educators are essential to ensure effective online teaching practices.

Impact of Online Education

On students.

Online education has democratized access to learning, enabling students to acquire knowledge and skills relevant to their career aspirations and personal development. It has also fostered a culture of lifelong learning, allowing individuals to pursue education at any stage of their lives. However, the success of online learning for students depends on their self-discipline, motivation, and ability to adapt to self-directed learning environments.

On Educators

For educators, online education has expanded the scope of teaching possibilities, from developing innovative course materials to reaching a global audience. It has also presented challenges, including the need to adapt pedagogical methods and ensure student engagement in virtual classrooms. Educators must continuously learn and evolve to harness the potential of digital learning platforms effectively.

Online education has significant implications for society, contributing to workforce development and economic growth by providing flexible, skill-based learning opportunities. It can also promote social inclusion by making education accessible to marginalized communities, thereby reducing educational disparities. However, realizing these societal benefits requires addressing the challenges of the digital divide and ensuring the quality of online education.

Future Directions

The future of online education is likely to see increased integration of artificial intelligence, virtual reality, and other emerging technologies to enhance interactive learning experiences and simulate real-world environments. Moreover, the emphasis on micro-credentials and competency-based education is expected to grow, aligning education more closely with industry needs and career pathways.

In conclusion, Online education represents a paradigm shift in the way knowledge is imparted and acquired. Its benefits, including accessibility, flexibility, and personalized learning, have the potential to transform educational landscapes worldwide. However, realizing its full potential requires addressing the challenges of technological access, student engagement, and quality assurance. As online education continues to evolve, it will play a crucial role in shaping the future of learning, empowering individuals, and driving social progress. In embracing the opportunities and navigating the challenges of online education, students, educators, and policymakers can collectively foster an inclusive, innovative, and informed society.

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Essay On Online Education: In 100 Words, 150 Words, and 200 Words

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Online education has emerged as a significant transformation in the global education landscape, particularly in the wake of the COVID-19 pandemic . This essay explores the various facets of online education, from its inception to its advantages and disadvantages and its impact on learners and educators alike. The evolution of online education presents a new horizon for accessible and flexible learning .

Table of Contents

• 1 Essay on Online Education in 100 words
• 2 Essay on Online Education in 150 words
• 3 Essay on Online Education in 200 words
• 4 Short Essay on Online Education

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Essay on Online Education in 100 words

Online education is a modern educational paradigm where students access instructional content through the internet. This innovative approach has gained immense popularity, especially after the pandemic, owing to its convenience and adaptability. It has enabled students of all ages to acquire knowledge from the comfort of their homes, transcending geographical barriers. Online education offers a diverse range of courses and resources, fostering continuous learning. However, it also presents challenges, such as dependency on technology and potential disengagement from the physical world.

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Essay on Online Education in 150 words

Online education marks a revolutionary shift in how we acquire knowledge. It harnesses the power of the internet to deliver educational content to students, making learning more flexible and accessible. Technology advancements have accelerated the development of online education, enabling educational institutions to provide a wide range of courses and programmes through digital platforms.

One of the primary advantages of online education is its ability to cater to a diverse audience, regardless of geographical location or physical limitations. It eliminates the need for commuting and offers a cost-effective alternative to traditional classroom learning. However, online education also comes with its challenges. It requires self-discipline and motivation as students often learn independently. Additionally, prolonged screen time can have adverse effects on students’ physical and mental well-being, potentially leading to social disconnection.

Essay on Online Education in 200 words

Online education has witnessed remarkable growth in recent years, with the internet serving as the conduit for delivering educational content. This transformation has been accelerated, particularly in response to the global pandemic. Online education transcends the boundaries of traditional learning, offering students the opportunity to acquire knowledge and skills from anywhere in the world.

One of the most compelling aspects of online education is its flexibility. Learners can access course materials and engage with instructors at their convenience, breaking free from rigid schedules. Moreover, this mode of education has expanded access to a vast array of courses, allowing individuals to pursue their interests and career goals without geographical constraints.

However, it’s important to acknowledge the challenges associated with online education. It demands a high degree of self-discipline, as students must navigate the coursework independently. Prolonged screen time can have adverse effects on health and may lead to a sense of disconnection from society.

In conclusion, online education represents a significant shift in how we approach learning. It offers unprecedented access and flexibility but also requires learners to adapt to a more self-directed approach to education. Striking a balance between the benefits and challenges of online education is key to harnessing its full potential.

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Short Essay on Online Education

Find a sample essay on online education below:

An organised argument backed up by proof and examples is the key to writing a convincing essay. Create a clear thesis statement at the outset, follow a logical progression of points, and then summarise your main points.

To improve readability, use clear and concise language, break your essay into paragraphs with clear topic sentences, and vary your sentence structure.

If you’re struggling to meet the word count, review your content to see if you can expand on your ideas, provide more examples, or include additional details to support your arguments. Additionally, check for any redundancies or irrelevant information that can be removed.

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Short Essay on Online Education [200, 500 Words] With PDF

In this lesson, you will learn to write short essays on Online Education . This session will be focused to write two sets of sample essays on the same topic covering different word limits. So, without further delay, let’s get started. 

Table of Contents

• Short Essay on Online Education in 200 Words 
• Short Essay on Online Education in 500 Words 

Short Essay on Online Education in 200 Words

With technological advancement, our world is becoming increasingly digitized. Traditional methods like going to the office or market are being replaced by working online from home and buying groceries through online applications.

Even when it comes to education, especially since the time the coronavirus pandemic began, schools, colleges as well as private coaching institutes have moved their classes from physical classrooms to digital ones. Although this was mostly done because it was the need of the hour, people have now realised that online education comes with its own set of benefits. 

As the classes are held online, students don’t need to be physically present in the school. This gives them the freedom to move cities, visit their families or travel for necessary activities without missing their classes. In these classes, the study material is also shared in a digital manner which reduces the need for physical books and copies which in turn saves trees.

Working digitally can also help students improve their technical skills which would definitely help them in future. For older students who want to pursue higher education, online education is a boon. It helps them easily manage their jobs and/or families while studying. 

Online education has a few disadvantages as it doesn’t allow students to experience the joy of sitting in a physical classroom with their friends, but its advantages are far greater in number. 

Short Essay on Online Education in 500 Words

We are currently living in a digital world which is becoming more and more technologically advanced as days go by. Today, we can order groceries, food and clothing items online instead of visiting traditional markets or shops. We can book cabs, buses, trains and flights from the comfort of our homes.

Our homes have also become smarter with the use of smart appliances. Even when it comes to education, especially since the time the coronavirus pandemic began, schools, colleges as well as private coaching institutes have moved their classes from physical classrooms to digital ones. And although this step was mostly taken because it was the need of the hour, people have now realised that online education does indeed come with its own set of benefits. 

As the classes are held online, students don’t need to be physically present in the school. This gives students as well as their parents the opportunity to move places, visit families and travel for necessary activities without the fear of missing their important classes. Since many of these classes are also recorded, a student has the flexibility to watch them when he has the time and space to do so.

This also gives students who are weaker, a chance to go through the lessons slowly or multiple times until they understand them completely. Online education also cuts down the additional expenses as the schools don’t need to manage huge buildings and the teachers, as well as students, don’t need to spend money on bus or rickshaw fares. 

In online classrooms, the study materials, books, copies as well as test papers and assignments are all digital. This reduces the use of physical books and copies and thus, saves our valuable trees which are cut down to produce paper. Online classes also give teachers the opportunity to present videos and other supporting materials which help the students learn better. This wouldn’t have been possible for most teachers in physical classrooms as most schools are not equipped with the necessary equipment needed for the purpose. 

Working digitally on their assignments and projects gives students the opportunity to improve their technical skills. And in this digital world, technical skills as always needed. These skills would definitely help the students in the long run. Online education is also a boon for people who want to restart their education after a pause or want to pursue higher studies while managing their jobs and/or families.

In earlier times, many married women as well as women with young kids had to drop out of their college to take care of their households and children. Now, with online education, such people can restart and complete their education without having to compromise their family life. 

Although online education is highly beneficial, it also has a few disadvantages. Schools used to be a place where young children met, made friends and played together. Kids often looked forward to going to school to meet their friends and have fun. Online education doesn’t allow students to experience the fun of school life in the same way.

The students also need to practice self-discipline and focus on their studies as they don’t have a teacher to scold them if they slack off. But despite these few disadvantages, online education has indeed helped students a lot and is highly beneficial. 

In this session, I have tried to cover all relevant aspects of Online Education in very simple words. Hopefully, now you have a holistic idea regarding the topic after going through the session. If you still have any doubts regarding this topic, kindly let me know through the comment section below. 

Thank you for being with us. Have a nice day. 

Shaping the Future of Online Learning

Published may 22, 2024.

If you’ve been enrolled in any educational course or postsecondary educational program since 2020, chances are you’ve witnessed the rise in online learning firsthand .

The COVID-19 global pandemic shuttered storefronts, theaters, and classrooms alike, causing major disruptions in how goods and services were delivered. As consumers adopted Instacart for their grocery needs and streamed new blockbuster movies from the comfort of their living rooms, students needed an innovative way to bring their classes home. A year into the pandemic over 60% of all undergraduate students were enrolled in at least one online course , with 28% exclusively enrolled in online courses, according to the National Center for Education Statistics.

There are other reasons for the widespread adoption, including accessibility. Rural and international students who may be far removed from traditional educational institutions can now attend Harvard classes anywhere there’s an internet connection. Or, consider working adults seeking to progress or switch careers. Life doesn’t stop for a class, and attending one in-person can be prohibitive. While still challenging, logging into a virtual classroom is far more manageable. Online education is for everyone.

Technological and pedagogical developments have helped online learning progress beyond the days of discussion boards and essay uploads. Now, students can enjoy a multimedia educational experience that is rooted in the latest research, all while participating in the community of their “virtual campus”.

If you’re one of the millions of learners who have experienced online education, you might be interested to learn where it’s going next. At Harvard Online, the question, “what is the future of online learning?” guides an ongoing conversation that drives us everyday.

In this blog, we sat down with Catherine Breen , Managing Director of Harvard Online. With more than two decades of senior executive leadership at Harvard University and oversight of Harvard Online, Breen has an invaluable perspective on the future of online learning, and the exciting role Harvard Online is playing in bringing the future into the present. 

Catherine Breen, Managing Director of Harvard Online, in a team meeting.

Harvard Online (HO): How has the online learning landscape evolved in recent years? 

Catherine Breen (CB): At the beginning of the COVID-19 lockdown, there was a massive escalation in demand for online learning. Demand began to recede slowly as the months wore on and by late 2022, it started to level out. But we observed two big changes: Internally, the demand for Harvard Online content was still almost three times higher than pre-pandemic. Externally, in reaction to the demand surge, there was significant and rapid growth of new online course offerings and companies that purveyed varying types of digital products.    

HO: What is shaping the future of online learning today? 

CB: Because of the rapid and massive shift to online that occurred around the globe in the spring of 2020, the landscape changed permanently. There are many things shaping the future but here are just a few that I can see from my perspective:

• Increased adoption of online learning across all ages and levels of education: Everyone expanded their online course catalogs; new companies and offerings sprung up everywhere.
• Greater tech investment across organizations and industries: Organizations are investing more time, money, and effort into technology infrastructure, tools, and platforms to support online learning and participants in these courses.
• New pedagogical methods to bridge the gap between traditional and novel learning methods: Instructors have adapted their teaching methods for online, hybrid, and blended environments.
• Enhanced accessibility to quality education and learning experiences: Efforts have been made to improve access for students of all types, abilities, geographies, and backgrounds so that everyone can participate effectively.    

HO: What are the remaining challenges that online learning faces? 

CB: While these changes have improved the online learning experience, challenges remain, including addressing the digital divide, maximizing student engagement, and refining the quality of online courses.

The pandemic accelerated the adoption of online learning and its impact will likely continue to shape higher education for many years to come.  

HO: How does online learning contribute to Harvard's mission of promoting accessibility and inclusion in education, especially for learners who may not have traditional access to higher education?

CB: Online learning levels the playing field for learners in many ways.

Most students think that a Harvard-quality education is out of reach, for a variety of reasons. With online courses, however, learners from around the country and the world can take courses with Harvard instructors at their own pace at a more affordable price point.

Our online courses also typically incorporate a range of multimedia elements, allowing students with different learning styles to flourish. We also ensure that our online learning experiences are accessible to all learners, including those with disabilities. This commitment to inclusivity aligns with the broader goals of promoting equitable access to education.

Lastly, our online courses often include discussion forums and virtual communities where learners can connect and collaborate. This allows for interactions among students from diverse backgrounds and experiences, fostering a sense of belonging and inclusion.  

It’s clear that online learning has a lot to offer everyone, and it’s only getting better. In our next blog in this series, we’ll hear more from Cathy on how institutions can implement online learning modalities effectively. 

If you missed the first blog in this series detailing the future of online learning, you can check out the first blog here . To learn more about Harvard Online, explore our fully online course catalog here .

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JEE Advanced 2024 official question papers out; PDF links here

JEE Advanced 2024 was held on May 26. Get paper-wise question paper PDF links here.

JEE Seat Matrix

Aspirants can check the JEE seat matrix in this ebook. Know about the number of category-wise seats offered by IITs, NITs, IIITs and GFTIs.

Vagisha Kaushik | May 27, 2024 | 01:55 PM IST

NEW DELHI: The Indian Institute of Technology (IIT) Madras has released the official Joint Entrance Examination (JEE) Advanced 2024 question papers. Students who appeared for the exam can check and download the paper-wise PDFs through the official website, jeeadv.ac.in. The question papers are available for both papers – paper 1 and paper 2 in English and Hindi languages.

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JEE Advanced 2024 was conducted on May 26 for admission to engineering programmes at the IITs and other participating institutions. The exam was conducted for a duration of three hours and was held in two shifts – shift 1 from 9 am to 12 noon and shift 2 from 2:30 pm to 5:30 pm. Paper 1 was held in the first session while paper 2 was administered in the second session.

Students rated paper 1 as moderately difficult and found the physics section the most difficult amongst all. Paper 2, as per exam analysis , was tougher than paper 1. The mathematics section was challenging and chemistry was tricky for students.

Both the papers included three sections – physics, chemistry, and mathematics. Each question paper included a total of 54 questions. 18 questions were asked from each section.

JEE Advanced 2024 question paper PDF

The PDF links for JEE Advanced 2024 paper 1 and JEE Advanced 2024 paper 2 are given below.

The exam authorities will soon issue the JEE Advanced 2024 answer key and candidates will be able to calculate their probable scores.

Students will get the opportunity to challenge the provisional answer key, in case of any discrepancies, and a final answer key will be released subsequently. JEE Advanced result 2024 will be prepared on the basis of the final answer key.

Candidates who qualify the exam will be eligible for Joint Seat Allocation Authority (JoSAA) counselling 2024 for IIT BTech admissions.

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JEE advanced 2024 official question paper PDFs out, check how to download

Jee advanced 2024 official question papers have been released. students can check the official answer keys from the official website. check how to download, and other details..

This year, the institute conducted the Joint Entrance Examination (JEE) Advanced 2024 on May 26 for admission to engineering programs at the IITs and other participating institutions.  The exam was conducted in two sessions. The first shift was started from 9 am to 12 noon and shift 2 from 2:30 pm to 5:30 pm. The first paper was conducted in shift 1 while paper 2 was conducted in shift 2. The duration of the exam was three hours. 

How to download JEE advanced 2024 official question papers?

• Visit the official website, jeeadv.ac.in
• Click on the notification link that reads, 'The question papers of JEE (Advanced) 2024 are available now : Paper-1 (English, Hindi) and Paper-2 (English, Hindi)'
• It will redirect you to a PDF 
• Download and save Official JEE advanced 2024 official question papers for future reference

According to the students, the first paper was moderately difficult whereas paper 2 was a bit tougher than Paper 1 with maths difficult, physics moderate and chemistry moderate. Both papers included three sections - physics, chemistry and mathematics. Each paper had three sections and each section had 17 questions. The sections were Maths, Physics and Chemistry. '

Answer keys soon

The exam authority will soon release JEE advanced 2024 answer key and then, the candidates will be able to calculate estimate scores. Once the answer key is released, students will get an opportunity to raise objections against the provisional answer key. Based on the candidate's representations, the final answer keys will be released. The results will be prepared based on the final answer keys. Candidates who will qualify for the exam will be called for counselling procedure for admission to IIT B.Tech. 

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Indian Navy Agniveer MR Sample Paper 2024, Download PDF

Indian navy agniveer mr sample paper 2024: download the navy agniveer mr sample question papers pdf for the written exam. the candidates must solve the sample paper to understand the pattern and the difficulty level of the exam..

Navy Agniveer MR Sample Paper 2024: The Indian Navy has released the Agniveer MR (Matric Recruits) sample question paper for the written exam for the Agniveer 02/2024 batch on the official website. Interested candidates must check the latest sample paper to prepare an exam-oriented strategy and proceed accordingly.

Also Check,

Navy Agniveer MR Syllabus 2024

Navy Agniveer SSR Syllabus 2024

Indian Navy Agniveer Salary 2024

Indian Navy Agniveer SSR Sample Paper 2024

With this, they should also check the Agniveer exam pattern to get an idea of the question structure, marking scheme, and other requirements. This will help candidates cover all the aspects of the syllabus and boost their qualifying chances in the exam.

Indian Navy Agniveer MR Sample Paper 2024 PDF Download

How to download indian navy agniveer mr sample paper pdf.

• Step 1: Visit the official website- joinindiannavy.gov.in
• Step 2: Select the ‘Careers’ option and click on Agniveer MR.
• Step 3: Scroll down to the ‘Sample Papers’ and click on it
• Step 4: Download the sample question paper PDF.

Indian Navy Agniveer MR Exam Pattern 

Importance of solving navy agniveer mr sample question paper pdf..

• It provides valuable insight into the exam pattern, question types, and difficulty level of the exam.
• Solving sample papers helps the candidates familiarize themselves with the exam format.
• It helps the candidates to identify their strengths and weaknesses in various topics.
• It aids in refining study plans and focusing on areas that need improvement. 
• Practising sample paper simulates the candidates with the exam environment, making them more comfortable on the actual test day.

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